
Granica is a pioneer in AI-driven data optimization, delivering state-of-the-art technologies to help enterprises manage large-scale data volumes used in AI, machine learning, and analytics. Granica's flagship product, Crunch, is a high-performance data compression solution that significantly reduces cloud storage footprint and improves data pipeline performance. By maximizing the efficiency of enterprise data infrastructure, Granica enables organizations to scale AI and analytics workloads with greater speed and cost-effectiveness. Granica’s product portfolio also includes: Signal – An advanced data refinement solution that intelligently selects high-value data for AI training, improving model accuracy while reducing computational overhead. Screen – A pioneering synthetic data generation technology that creates high-fidelity synthetic datasets, preserving statistical properties while eliminating privacy risks.

Granica is a pioneer in AI-driven data optimization, delivering state-of-the-art technologies to help enterprises manage large-scale data volumes used in AI, machine learning, and analytics. Granica's flagship product, Crunch, is a high-performance data compression solution that significantly reduces cloud storage footprint and improves data pipeline performance. By maximizing the efficiency of enterprise data infrastructure, Granica enables organizations to scale AI and analytics workloads with greater speed and cost-effectiveness. Granica’s product portfolio also includes: Signal – An advanced data refinement solution that intelligently selects high-value data for AI training, improving model accuracy while reducing computational overhead. Screen – A pioneering synthetic data generation technology that creates high-fidelity synthetic datasets, preserving statistical properties while eliminating privacy risks.
What they do: AI Data Readiness Platform that optimizes and compresses large-scale data for AI/ML and analytics
Flagship product: Crunch — high-performance data compression and query performance solution
Founded / HQ: 2019; Mountain View, California
Founders: Rahul Ponnala (CEO) and Tarang Vaish (CTO)
Funding: $45M Series A (announced June 8, 2023)
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Enterprise data infrastructure, data preparation for AI/ML, storage and query optimization, synthetic data and privacy-preserving data tooling.
2019
Software Development
45000000
Series A announced June 8, 2023; investors include NEA and Bain Capital Ventures among others.
“Backed by institutional VCs including New Enterprise Associates (NEA) and Bain Capital Ventures”
About Granica Granica is an AI research and infrastructure company focused on reliable, steerable representations for enterprise data.
We earn trust through Crunch , a policy-driven health layer that keeps large tabular datasets efficient, reliable, and reversible. On this foundation, we’re building Large Tabular Models —systems that learn cross-column and relational structure to deliver trustworthy answers and automation with built-in provenance and governance.
Engineering Manager — Foundational Data Systems for AI Location: Downtown Mountain View, CA (office-based, 5 days/week)
Team: Foundational Data Systems
About The Role We’re hiring an Engineering Manager to lead Granica’s Foundational Data Systems —the core infrastructure layer that everything else depends on.
You’ll lead a globally distributed team of ~15–20 senior engineers across the US, India, and Canada, with direct ownership of long-lived systems spanning storage, metadata, and distributed compute. This is not a people-only management role. It is a hands-on leadership position with real architectural authority , responsible for building systems that must be correct, durable, and efficient at enterprise scale.
The systems this team builds determine whether Granica can translate cutting-edge research into reliable products and whether our customers can trust the data foundations their analytics and AI workloads depend on.
This role is ideal for a technically strong leader who enjoys building teams, shaping systems that last for a decade, and operating with high trust and ownership .
Why This Role Exists
Modern AI and analytics systems are constrained less by models and more by the inefficiency and fragility of the data infrastructure beneath them . Redundant data layouts, brittle metadata, and expensive execution paths directly translate into higher cost, slower iteration, and operational risk.
Granica’s mission is to remove that inefficiency at the foundation.
We design self-optimizing data systems that continuously reorganize, compress, and maintain structured data so it remains efficient, reliable, and reversible as it evolves. These systems serve as the durable substrate for analytics, automation, and AI workloads—where correctness, provenance, and governance are non-negotiable.
This team works closely with Granica’s Research group led by Prof. Andrea Montanari (Stanford), translating advances in information theory and learning efficiency into production-grade distributed systems . We believe the next major step forward will come not from larger models, but from better systems and better data.
What You’ll Own
Team Leadership & Growth
Technical Direction & Architecture
Set technical direction through design reviews, RFCs, and principled trade-offs
Maintain close involvement in architecture and core system decisions
Own the evolution of foundational systems including:
Table maintenance and data layout
Metadata, transactions, and schema evolution
Execution & Operational Excellence
Cross-Functional Partnership
What You Bring
Minimum Qualifications
Preferred Qualifications
Logistics
Why Granica
Compensation & Benefits
At Granica, you will shape the fundamental infrastructure that makes intelligence itself efficient, structured, and enduring. Join us to build the foundational data systems that power the future of enterprise AI! Compensation Range: $190K - $290K
Distributed compute and orchestration
Reliability, observability, and operational tooling